memory-quality-mcp

# Memory Quality MCP **A Claude Code MCP plugin that audits and cleans up your AI memory.** [中文版](README_CN.md) · [Report a Bug](https://github.com/ladyiceberg/memory-quality-mcp/issues/new?template=bug_report.md) · [Request a Feature](https://github.com/ladyiceberg/memory-quality-mcp/issues/new?template=feature_request.md) ---  --- Claude Code v2.1.59+ automatically saves memories from your conversations. Over time, your memory store accumulates: - **Stale memories** — "working on Project X this week" from months ago - **Junk memories** — offhand remarks treated as permanent facts - **Conflicting memories** — "prefers detailed comments" and "keep code clean and minimal" coexisting - **Misrecorded memories** — AI over-interpreted a one-time comment as a fixed habit This plugin audits your memory store with a 4-dimension quality score (Importance / Recency / Credibility / Accuracy) and gives you actionable cleanup recommendations — with a visual dashboard. --- ## Requirements - **Claude Code v2.1.59+** (run `claude --version` to check) - **Python 3.10+** - **LLM API Key** — OpenAI, Kimi, MiniMax, or Anthropic (any one will do) --- ## Installation ### Option 1: uvx (recommended — no manual install) Add to your Claude Code MCP config (`~/.claude/settings.json` or your project's `.claude/settings.json`): ```json { "mcpServers": { "memory-quality": { "command": "uvx", "args": ["memory-quality-mcp"], "env": { "OPENAI_API_KEY": "your-key-here" } } } } ``` ### Option 2: pip ```bash pip install memory-quality-mcp ``` Then in your MCP config: ```json { "mcpServers": { "memory-quality": { "command": "memory-quality-mcp", "env": { "MINIMAX_API_KEY": "your-key-here" } } } } ``` --- ## Configure your LLM Set **one** of these environment variables in the `env` field above: | Provider | Env Variable | Default Model …